TAR: Bayesian Modeling of Autoregressive Threshold Time Series Models
Identification and estimation of the autoregressive threshold models with Gaussian noise, as well as positive-valued time series. The package provides the identification of the number of regimes, the thresholds and the autoregressive orders, as well as the estimation of remain parameters. The package implements the methodology from the 2005 paper: Modeling Bivariate Threshold Autoregressive Processes in the Presence of Missing Data <doi:10.1081/STA-200054435>.
| Version: |
1.0 |
| Depends: |
mvtnorm |
| Published: |
2017-02-24 |
| DOI: |
10.32614/CRAN.package.TAR |
| Author: |
Hanwen Zhang, Fabio H. Nieto |
| Maintainer: |
Hanwen Zhang <hanwengutierrez at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
TAR results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=TAR
to link to this page.